ScienceIDE is an independent infrastructure exploration for real scientific codebases, research tasks and verifiable scientific experience.
It turns real scientific code, research procedures, task goals and verification criteria into scientific environments that run, measure and reproduce, so that researchers can do agent execution, model training and reinforcement-learning research in real scientific settings.
Its value is in organising real scientific software, domain judgement, task goals and verifiable feedback into one executable environment, an experiential base for research agents, model training, reinforcement learning and discovery research. ScienceIDE does not require ScienceBuddy to be used, and does not depend on JEPA-Anything to stand.
Current task forms are accelerate, discover, repair, reproduce and integrate. ScienceIDE serves scientific code, scientific tasks, environment building, task verification and reinforcement-learning training on its own.
ScienceIDE is open for task proposals. Whether the project page, submission page and repository go public on 17 September follows final readiness.